CFP last date
20 December 2024
Reseach Article

Speed Control of Induction Motor using Fuzzy Rule Base

by D. D. Neema, R. N. Patel, A. S. Thoke
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 5
Year of Publication: 2011
Authors: D. D. Neema, R. N. Patel, A. S. Thoke
10.5120/4016-5704

D. D. Neema, R. N. Patel, A. S. Thoke . Speed Control of Induction Motor using Fuzzy Rule Base. International Journal of Computer Applications. 33, 5 ( November 2011), 21-29. DOI=10.5120/4016-5704

@article{ 10.5120/4016-5704,
author = { D. D. Neema, R. N. Patel, A. S. Thoke },
title = { Speed Control of Induction Motor using Fuzzy Rule Base },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 5 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 21-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number5/4016-5704/ },
doi = { 10.5120/4016-5704 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:21.411996+05:30
%A D. D. Neema
%A R. N. Patel
%A A. S. Thoke
%T Speed Control of Induction Motor using Fuzzy Rule Base
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 5
%P 21-29
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The induction motors are characterized by complex, highly non-linear and time-varying dynamics, and hence their speed control is a challenging engineering problem. The advent of vector control techniques has partially solved induction motor control problems, but they are sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. By exploiting the fuzzy logic structure of the controller, heuristic knowledge is incorporated into the design, resulting in a non-linear controller with improved large signal performance over linear PI controllers. This paper proposes a novel design procedure for speed control of induction motor using fuzzy logic controller (FLC). The input to the controller is error and change in error and output of the controller is torque producing component of current, applied for the speed control of an induction motor. The effectiveness of the controller is demonstrated on the 1 hp three phase induction motor using DSP 2407 for different operating conditions of the drive system.

References
  1. Gopal, M., “Modern Control System Theory”, 2nd ed., Wiley Eastern Ltd., 1993.
  2. Krishnan, R. “Electric Motor Drives, Modeling, Analysis and Control”, 1st ed., Singapore: Pearson Education, 2001.
  3. Ziegler, J. G., and Nichols, N. B. “Optimum setting for automatic controllers”, Trans. of ASME, Vol. 64, 1942, pp-759–768.
  4. B. K. Bose. “Modern Power Electronics and AC Drives”, 5th ed., Singapore: Pearson Education, 2005.
  5. D. K. Chaturvedi, “Soft Computing -Techniques and its Applications in Electrical Engineering,” Berlin Heidelberg: Springer-Verlag, ISBN 978-3-540-77480-8, 2008.
  6. Cirstea, M. N., Dinu, A., Khor, J.G. and McCormick M, “Neural and Fuzzy Logic Control of Drives and Power Systems”, 1st ed., Oxford: Newnes Pub. (ISBN 0 7506 55585), 2002.
  7. Bose, B. K. “Expert system, fuzzy logic, and neural network applications in power electronics and motion control,” Proc. IEEE, Vol. 82, No. 8, Aug.1994, pp. 1303-1323.
  8. Lee, J. “On methods for improving performance of PI-type fuzzy logic controllers,” IEEE Trans. on Fuzzy Systems, vol. 1, No. 4Nov. 1993. , pp. 298-302,
  9. Toufouti, R., Meziane, S., and Benalla, H. “Direct Torque control for induction motor using fuzzy logic”, ACSE Journal, Vol. 6, Issue 2, June 2006, pp. 19-26.
  10. V Chitra, and R. S Prabhakar,. “Induction Motor Speed Control using Fuzzy Logic Controller”, Proc. of World Academy of Science, Engineering and Technology, Vol. 17, December 2006, pp. 248-253.
  11. H. B Abad,. Bostan, Varjani, A. Yazdian, and T.Asghar, “Using fuzzy controller in induction motor speed control with constant flux” ,Proceedings of World Academy of Science, Engineering and Technology, Vol. 5, April 2005, pp. 307-310.
  12. Teng, F. C., Lotfi, A., and Tsoi, A. C. “Novel fuzzy logic controllers with self-tuning capability”, Journal of Computers, Vol. 3, No. 11 Nov 2008, pp-9-16.
  13. Vinod Kumar, and R.R. Joshi, “Hybrid controller based intelligent speed control of induction motor,” Journal of Theoretical and Applied Information Technology (JATIT), 2005,pp-71-75,.
  14. G. Panda, S. Panda, and, C Ardil, “Hybrid neuro fuzzy approach for automatic generation control of two –area interconnected power system,” International Journal of Computational Intelligence, Vol. 5, No. 1, 2009, pp. 80-84.
  15. P. Chatterjee., B.M Karan.,and P.K Sinha,. “Fuzzy control of induction motor with reduced rule base”, Serbian Journal of Electrical Engineering, Vol. 4, No. 2, November 2007, pp. 147-159.
  16. P. Vas, “Sensorless Vector and Direct Torque Control”, 1st ed., Oxford Science Publication, 1998.
  17. P. C Sen, “Principles of Electric Machines and Power Electronics”, 3rd ed., New York: Wiley, 1988.
  18. W. Leonhard, “Control of Electric Drives”, 3rd ed., New York: Springer, 2001.
  19. D. D. Neema, and A. S.Zadgaonkar, “Matlab Simulation of Three Phase to Two Phase Transformation and Vice-Versa”, Proc. of the National Conference on Innovation in Engineering and Technology – INVENT – 2007, Gondia (M.S.), India, 14th -15th March, 2007.
  20. B. Kosko, “Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence”, Prentice-Hall Inc., 1992.
  21. S. N. Sivanandam, S. Sumathi, and S. N. Deepa, “Introduction to Fuzzy Logic using MATLAB”, Berlin Heidelberg: Springer-Verlag, ISBN-13 978-3-540-35780-3, 2007.
  22. Mathew, George Jr. “Implementation of Fuzzy Logic Servo Motor Control on a Programmable Texas Instruments TMS320C14 DSP”, An Application Report SPRA028, January 1993.
  23. Del Campo, I., J Echanobe, and J. Tarela, “Implementation of Intelligent Controllers on Digital Signal Processors” , Cybernetics and Systems, Vol. 29, No. 3, 1998, pp. 283-301.
  24. P. Vas, A. F. Stronach, and M Neuroth, “DSP-Based Speed-Sensorless Vector Controlled Induction Motor Drives using AI Based Speed Estimator and Two Current Sensors”, IEEE Conference on Power Electronics and Variable Speed Drives, 21-23 September 1998, pp-442-446.
  25. Miloudi, Eid A. Al-Radadi, and A. D.Draou, “A Variable Gain PI Controller used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Machine Drive”, Turkish J. Electrical Engineering, Vol. 15, No.1, 2007, pp-37-49.
Index Terms

Computer Science
Information Sciences

Keywords

Membership Function Rule Base Mamdani Vector control IM drive Fuzzy Logic DSP.